Overview
Would you like to improve knowledge of Arctic fires and air pollution? Do you have a background in atmospheric modelling? Would you like the opportunity to work with a large international team of researchers?
We seek to appoint a research fellow in Modelling of Arctic Atmosphere and Wildfire within the Institute for Climate and Atmospheric Science at the University of Leeds. The successful candidate will lead regional modelling analysis and apply machine learning methods to improving knowledge of drivers of high latitude fires, help produce high latitude fire scenarios for a range of future warming pathways and assess contributions of emission sources and chemical processes to regional pollutants under Arctic conditions. You will collaborate extensively with international partners from across the project. The work is funded jointly under the ALPACA-UK (Aerosol heterogeneous Processing as a source of oxidants in Cold winter Atmospheres: application to Alaska and UK) project and the BorealBlaze project. ALPACA-UK is the UK component of the international ALPACA (Alaskan Layered Pollution And Chemical Analysis) study, which involves more than 50 researchers from partner organisations across Europe and the USA. BorealBlaze is a related project which is aiming to better understand potential future changes in high latitude wildfire and impacts on Arctic atmospheric composition and climate.
Responsibilities
In this role, in collaboration with BorealBlaze Norwegian and other international partners, you will apply machine learning methods to develop a statistical model of natural and anthropogenic controls on boreal region wildfires, which will then be used to develop future fire activity scenarios aligned to a range of climate warming pathways. In addition, you will undertake and analyse regional atmospheric chemistry model simulations using the WRF-CMAQ modelling framework, with a key focus on heterogeneous chemical processes, informed by recent work being undertaken as part of ALPACA-UK, and analysis of field measurements from the ALPACA-2022 field campaign in Fairbanks. In this project you will have the opportunity to work with a wide range of research groups, and to take a leading and active role in international project meetings.
Qualifications
You will have a PhD in atmospheric science or climate science, including experience of running and analysing numerical models, and an appreciation of machine learning methods suitable for building models of environmental systems. You will have a proven ability to tackle complex science problems using a combination of models and observations, and an enthusiasm to work closely with international collaborators.
Eligibility and visa information
Please note that this post may be suitable for sponsorship under the Skilled Worker visa route, but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa.
For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent.
What we offer
• 26 days holiday plus approx. 16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
• Generous pension scheme plus life assurance – The University contributes 14.5% of salary.
• Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
• Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
• Access to on-site childcare, shopping discounts and travel schemes are also available.
And much more!
If you are looking for a role that will allow you to use your skills to tackle major atmospheric challenges in the Arctic with an expert international team, apply today.
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